Publisher
source

US Food and Drug Administration

Just Landed

FDA Artificial Intelligence and Machine Learning Fellowship U.S. Food and Drug Administration (FDA) in United States

Degree Level

Master's

Field of study

Computer Science

Funding

Monthly stipend commensurate with educational level and experience; appointment initially for one year and may be renewed subject to FDA recommendation and availability of funds.

Deadline

Sep 30, 2027

Country flag

Country

United States

University

US Food and Drug Administration

Apply for this position

Keywords

Computer Science
Data Science
Biomedical Engineering
Mathematics
Artificial Intelligence
Uncertainty Analysis
Medical Science
Regulatory Science
Statistics
Physics
ML

Suggested positions

Publisher
source

US Food and Drug Administration

Country flag

United States

This fellowship is based in the Division of Quantitative Methods and Modeling within the FDA’s Center for Drug Evaluation and Research in Silver Spring, Maryland. The group works on regulatory science and quantitative research that supports the development and review of generic drugs, with a strong emphasis on modeling, simulation, data analysis, and data mining for public health decision-making. Participants will join research activities spanning a wide range of modern quantitative approaches f...

Computer Science
Biomedical Engineering
Mathematics
+12 more

New Today

Publisher
source

University of Florida

Country flag

United States

University of Florida is recruiting a Postdoctoral Researcher at the Main Campus in Gainesville, Florida, United States . The role sits in the MD-HOBI-General department and focuses on biomedical informatics , electronic health record (EHR) data , artificial intelligence , machine learning , deep learning , data science , and related computer science / statistics / mathematics methods. The researcher will develop methods and tools to use EHR data effectively, implement methods into software, and...

Computer Science
Data Science
Biomedical Engineering
+11 more

3 weeks ago

Publisher
source

Rice University

Country flag

United States

Rice University’s Department of Statistics is hiring a Postdoctoral Associate in statistics for research in statistical learning , with emphasis on uncertainty quantification , conformal prediction , and reliable machine learning under distribution shift . The postdoctoral researcher will work with Dr. Judy Wang and contribute to independent and collaborative projects in statistical methodology, theory, computation, and related areas of machine learning and artificial intelligence. The role is d...

Computer Science
Mathematics
Artificial Intelligence
+5 more

1 month ago

Publisher
source

Fred Hutch Cancer Center

Country flag

United States

The Kuznets-Speck Lab at Fred Hutchinson Cancer Center is hiring a Postdoctoral Fellow to develop statistical and machine learning methods for omics and single-cell data . This is an interdisciplinary research opportunity in the Biostatistics Program at Fred Hutch, with strong mentorship and a hybrid work option mentioned in the post. The role is well suited to candidates interested in modern data science methods for biomedical research, especially in high-dimensional biological datasets. Resear...

Computer Science
Data Science
Biomedical Engineering
+5 more

3 weeks ago

Publisher
source

Rhodri Smith

University of Alberta

Country flag

Canada

PhD opportunity at the University of Alberta in the Department of Radiology and Diagnostic Imaging for research on artificial intelligence in PET imaging and medical image analysis . The project is aimed at quantitative PET imaging, with a strong emphasis on computational and data-driven methods relevant to medical physics and imaging science. The post is especially suitable for applicants with backgrounds in medical physics , biomedical engineering , computer science , physics , mathematics , o...

Computer Science
Biomedical Engineering
Mathematics
+8 more

1 month ago

About this position

This fellowship at the U.S. Food and Drug Administration’s Center for Devices and Radiological Health places participants in a regulatory science research environment focused on artificial intelligence and machine learning for medical devices. The project addresses the safety and effectiveness of AI/ML-enabled devices across healthcare uses such as image processing, disease detection, diagnosis, and therapeutic monitoring.

Working under FDA mentorship, the fellow will engage with research challenges at the intersection of AI and medical device regulation. The project specifically targets issues such as limited-data algorithm training, synthetic data evaluation, algorithmic bias minimization, uncertainty quantification, evaluation of continuously learning systems, and post-market monitoring of adaptive models.

The opportunity is hosted by the FDA CDRH in White Oak, Maryland, within ORISE Research Participation Programs. The environment is designed for students and recent graduates to contribute to project-specific research while building expertise in regulatory science and the development and evaluation of AI-enabled medical technologies.

Mentorship is provided by Ravi Samala and Aldo Badano.

Funding details

Monthly stipend commensurate with educational level and experience; appointment initially for one year and may be renewed subject to FDA recommendation and availability of funds.

What's required

Applicants should have received or be currently pursuing a master's or doctoral degree in a relevant field. Eligible degrees must have been received within the last 60 months or be anticipated by 2026-05-31. The opportunity is open to U.S. citizens, lawful permanent residents, and foreign nationals meeting the program's immigration requirements. Applicants must have lived in the United States for at least 36 of the past 60 months for background investigation purposes, and proof of health insurance is required. All application materials must be in English or accompanied by an official English translation.

How to apply

Submit the application through the APPLY button on the Zintellect opportunity page. Include a transcript, current resume/CV, and one educational or professional recommendation. If you have questions, email [email protected] and include the reference code FDA-CDRH-2026-0011.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.